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» Building a Stochastic Dynamic Model of Application Use
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AAAI
2006
13 years 9 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
WSC
2000
13 years 9 months ago
An interactive land use VRML application (ILUVA) with servlet assist
We summarize progress achieved on an interactive land use VRML application (ILUVA) with servlet assist. The purpose of this application is to enable one to take a virtual land are...
Lee A. Belfore II, Suresh Chitithoti
BMCBI
2004
323views more  BMCBI 2004»
13 years 7 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
SIGMETRICS
2008
ACM
130views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
Using probabilistic model checking in systems biology
Probabilistic model checking is a formal verification framework for systems which exhibit stochastic behaviour. It has been successfully applied to a wide range of domains, includ...
Marta Z. Kwiatkowska, Gethin Norman, David Parker
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 1 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré